Senior Backend Engineer, Cloud Platform
Posted 2hrs ago
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Job Description
Senior Backend Engineer building scalable AWS and EKS infrastructure for ClickUp’s AI-powered workspace. Improving reliability, security, and cost efficiency across multi-region systems.
Responsibilities:
- Build and scale AWS infrastructure and reusable platform abstractions, focusing on Amazon EKS, networking, and self-hosted services
- Identify improvement opportunities and emerging risks and propose solutions that improve reliability, scalability, and cost efficiency
- Automate shard buildouts and implement Terraform guardrails and hardened ingress to reduce incidents
- Scale systems for multi-shard, multi-region growth while meeting SOC 2, ISO 27001, disaster recovery, and enterprise security requirements
- Partner with SRE, Security, product, AI, and enterprise teams to bridge infrastructure and product engineering
- Own Cloud Platform reliability through on-call, incident response, postmortems, runbooks, and prevention
- Use AI tooling daily to accelerate development, testing, infrastructure-as-code, operations, and investigations, and help improve team AI leverage
Requirements:
- 6+ years building and operating large-scale distributed systems with a focus on infrastructure and cloud, especially compute foundations
- Deep, hands-on experience operating and troubleshooting Kubernetes in production, including control-plane, node, and networking issues; ideally Amazon EKS at fleet scale
- Strong AWS experience with EKS, EC2, Lambda, API Gateway, VPC networking, IAM, S3, and KMS
- Bedrock experience is a plus
- Experience with multi-account AWS environments with 20+ accounts, including Transit Gateway, PrivateLink, VPC routing, DNS, and load balancing
- Infrastructure-as-code experience at scale with Terraform; CDK experience is a plus
- Fluent coding in at least one language; Go, Python, or TypeScript/Node.js preferred
- Experience with hybrid monolith/microservices architectures
- Experience operating data stores at scale, such as PostgreSQL, DynamoDB, S3, and Redis/Valkey
- Track record of improving infrastructure reliability and efficiency and implementing security guardrails
- Strong production debugging across application and infrastructure boundaries
- Clear written communication and effective cross-functional collaboration
- Daily AI user with concrete examples of how AI improved engineering workflow
Benefits:
- AI-native company culture with daily AI use encouraged and AI fluency evaluated during hiring
- Opportunity to work on infrastructure powering millions of users
- Collaboration with SRE, Security, product, AI, and enterprise teams
- On-call, incident response, postmortems, runbooks, and prevention ownership
- Equal opportunity employment


















